Akademik Veri Yönetim Sistemi
9th Mediterranean Interdisciplinary Forum on Social Sciences and Humanities, MIFS, Almería, İspanya, 25 - 26 Ekim 2021
Many regions and cities have developed sustainable development plans for leading their territorial development process aligned with economic, environmental and social goals of sustainability. Sustainability indices are suited for this task and can have important role in determining how successful strategies and policies enforced have been in the attainment of three pillars of sustainability (ecological, socio-cultural and economic domains). Development of composite indicators is a challenging task given that sustainability indices are strongly dependent on how sub-indicators are weighted. This is because relative indicator weights may significantly differ based on the chosen weighting methods used in the analysis. There is hardly any study that has paid attention to this issue so far. Therefore, this paper aims to fill this gap in the literature by searching robustness of selected weighting methods i.e. Entropy-weight, Principal Component Analysis (PCA), machine learning approaches (Random Forest-RF), regression analysis and Benefit-of-the-Doubt (BOD) when constructing composite indicators.